Senior Manager, Sales Data Architecture & Engineering, Transcatheter Heart Valve

Edwards Lifesciences•Irvine, CA

16d•$139,000 - $196,000

About The Position

The U.S. Transcatheter Heart Valve (THV) Sales Operations organization is seeking a Senior Manager, Sales Data Architecture & Engineering to lead the data foundation that supports U.S. THV Sales reporting, analytics, planning, operational decision-making, and field-facing business intelligence. This role is crucial for ensuring data accuracy, consistency, and integrity across the organization, enabling informed decision-making and supporting innovative solutions to transform patient lives. The position involves leading the design and evolution of data architecture, ensuring data usability, defining business logic and metrics, supporting data migration, and managing data pipelines. It also includes overseeing data ingestion, transformation, validation, and production support, utilizing advanced SQL for troubleshooting and optimization. The role requires establishing controls for pipeline reliability, partnering with IT for performance improvements, and leading team ownership of SQL databases. Additionally, it involves monitoring and coordinating issue resolution, partnering with IT infrastructure teams, ensuring documentation, and leading the development of a sales-focused semantic layer for enhanced self-service analytics. The Senior Manager will also own data stewardship for critical sales domains, maintain documentation, coordinate data quality fixes, and lead, coach, and develop a high-performing data team. This role serves as a key liaison between business stakeholders, BI/analytics users, IT, and enterprise data teams, communicating data risks and managing priorities to promote reliability and sustainable solutions.

Requirements

Bachelor's Degree in related field and 10 years of previous related sales operations, business strategy and/or financial planning experience or equivalent work experience based on Edwards criteria or Master's Degree or equivalent in related field and 8 years of previous related sales operations, business strategy and/or financial planning experience or equivalent work experience based on Edwards criteria.
Advanced SQL skills with demonstrated ability to analyze, validate, troubleshoot, and optimize complex datasets, queries, and transformations.
Experience supporting SQL databases, data pipelines, curated datasets, semantic layers, data marts, or enterprise BI data models.
Experience working with BI platforms such as Tableau, Power BI, or similar tools.
Strong communication, documentation, stakeholder management, and requirements translation skills.
Ability to work across business, IT, data engineering, infrastructure, finance, commercial, and operations teams.

Nice To Haves

Experience supporting Sales, Commercial Operations, Sales Operations, or field-facing analytics in a complex organization.
Familiarity with Snowflake, including migration planning, data modeling, curated datasets, semantic layer concepts, or governed access models.
Familiarity with database infrastructure, server health, job monitoring, refresh dependencies, and production support processes.
Experience with master data management, metadata management, data lineage, data cataloging, and data observability practices.
Experience in medical device, healthcare, biotechnology, pharmaceutical, or other regulated environments.
Strong attention to detail with the ability to balance technical depth, business needs, operational reliability, and long-term scalability.
Data product management: Manage intake, prioritization, lifecycle, and adoption of shared Sales data assets.
Data observability: Define monitoring routines, alerts, SLAs, and quality checks for critical Sales datasets, pipelines, and reporting dependencies.
Platform partnership: Provide the Sales business perspective on Snowflake, SQL database environments, BI platforms, metadata tools, and data architecture decisions.
Analytics and AI readiness: Ensure curated Sales data is structured, validated, and documented for future predictive analytics, Copilot, and AI-enabled workflows.
Data access enablement: Partner with IT and business users to ensure appropriate access, usability, and support for data consumed through BI platforms, Excel, and ad hoc analysis.
3+ years of people leadership experience, preferably leading data, BI, analytics, or technical business teams.

Responsibilities

Lead the design and evolution of U.S. THV Sales data architecture, including SQL database structures, curated datasets, reporting models, and semantic layer design.
Ensure data is organized in a way that is intuitive, scalable, reliable, and usable for BI developers, analysts, and business users.
Define reusable business logic, common dimensions, standardized metrics, and analytics-ready datasets for Tableau, Power BI, Excel, and ad hoc reporting.
Partner with business stakeholders to translate Sales reporting and analytics needs into sustainable data models rather than one-off reporting solutions.
Support migration of key data assets into Snowflake where appropriate, including requirements, data mapping, validation, and semantic layer readiness.
Lead the development, maintenance, and continuous improvement of data pipelines that support Sales reporting, dashboards, planning tools, and operational workflows.
Oversee data ingestion, transformation, validation, testing, documentation, and production support for critical data assets.
Use advanced SQL expertise to troubleshoot data issues, validate transformations, optimize queries, and support root-cause analysis.
Establish practical controls for pipeline reliability, exception handling, data refresh monitoring, and issue escalation.
Partner with IT and technical teams to improve pipeline performance, automation, lineage, and long-term scalability.
Lead team ownership of U.S. THV Sales SQL databases, including database structure, performance awareness, access needs, refresh dependencies, and operational reliability.
Monitor and coordinate issue resolution related to database health, server performance, data availability, failed jobs, refresh delays, and other production-impacting issues.
Partner with IT infrastructure, database administration, and enterprise data teams on server maintenance, environment support, capacity needs, security standards, and platform dependencies.
Ensure critical sales data environments are documented, supportable, and aligned with business continuity needs.
Establish operating routines for database maintenance awareness, incident triage, and communication to impacted business users.
Lead development of a sales-focused semantic layer that allows business users to access consistent, trusted, and understandable data.
Ensure curated datasets are prepared for multiple consumption paths, including Tableau, Power BI, Excel, SQL-based analysis, and future AI-enabled analytics.
Reduce duplicated reporting logic by centralizing commonly used calculations, definitions, hierarchies, and business rules.
Partner with BI developers and analysts to ensure dashboards and reports are powered by clean, well-modeled, and documented data.
Improve self-service analytics by making Sales data easier to find, understand, and use appropriately.
Own practical data stewardship for sales-critical domains such as accounts, facilities, physicians, territories, products, external data sources, organizational hierarchies, and sales alignments.
Partner with IT and enterprise data teams on master data rules, data quality controls, and source system dependencies that impact sales reporting.
Maintain clear documentation, including data dictionaries, metric definitions, transformation logic, lineage notes, refresh dependencies, and known data limitations.
Coordinate sustainable fixes for recurring data quality issues across business owners, IT, and technical teams.
Ensure documentation is maintained as a core part of the team’s operating model, not as a one-time project.
Lead, coach, and develop a high-performing U.S. THV Sales Data team focused on data architecture, data engineering, database support, and analytics enablement.
Serve as the primary bridge between sales business stakeholders, BI & analytics users, IT, and enterprise data teams.
Communicate data risks, dependencies, tradeoffs, and recommendations in clear, practical terms for both technical and non-technical audiences.
Manage priorities across multiple sales data initiatives while promoting reliability, documentation, quality standards, and sustainable solutions.
Identify opportunities to simplify sales reporting processes, automate recurring data work, and improve speed-to-insight for business users.